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本文引用的文献

1
Massive infection and loss of memory CD4+ T cells in multiple tissues during acute SIV infection.急性猴免疫缺陷病毒(SIV)感染期间多个组织中出现大量感染及记忆性CD4 + T细胞丧失。
Nature. 2005 Apr 28;434(7037):1093-7. doi: 10.1038/nature03501.
2
Peak SIV replication in resting memory CD4+ T cells depletes gut lamina propria CD4+ T cells.静息记忆性CD4+ T细胞中的SIV复制高峰会消耗肠道固有层CD4+ T细胞。
Nature. 2005 Apr 28;434(7037):1148-52. doi: 10.1038/nature03513.
3
Subpopulations of long-lived and short-lived T cells in advanced HIV-1 infection.晚期HIV-1感染中长寿命和短寿命T细胞的亚群
J Clin Invest. 2003 Sep;112(6):956-66. doi: 10.1172/JCI17533.
4
Rapid evolution of the neutralizing antibody response to HIV type 1 infection.对1型人类免疫缺陷病毒感染的中和抗体反应的快速演变。
Proc Natl Acad Sci U S A. 2003 Apr 1;100(7):4144-9. doi: 10.1073/pnas.0630530100. Epub 2003 Mar 18.
5
Modelling the dynamics of LCMV infection in mice: II. Compartmental structure and immunopathology.小鼠淋巴细胞脉络丛脑膜炎病毒(LCMV)感染动力学建模:II. 区室结构与免疫病理学
J Theor Biol. 2003 Apr 7;221(3):349-78. doi: 10.1006/jtbi.2003.3180.
6
Human immunodeficiency virus-specific CD8(+) T-cell responses do not predict viral growth and clearance rates during structured intermittent antiretroviral therapy.人类免疫缺陷病毒特异性CD8(+) T细胞反应无法预测结构化间歇性抗逆转录病毒治疗期间的病毒生长和清除率。
J Virol. 2002 Oct;76(20):10169-76. doi: 10.1128/jvi.76.20.10169-10176.2002.
7
Recruitment times, proliferation, and apoptosis rates during the CD8(+) T-cell response to lymphocytic choriomeningitis virus.CD8(+) T细胞对淋巴细胞性脉络丛脑膜炎病毒反应过程中的招募时间、增殖及凋亡率
J Virol. 2001 Nov;75(22):10663-9. doi: 10.1128/JVI.75.22.10663-10669.2001.
8
Critical role for alpha/beta and gamma interferons in persistence of lymphocytic choriomeningitis virus by clonal exhaustion of cytotoxic T cells.α/β和γ干扰素在通过细胞毒性T细胞克隆耗竭导致淋巴细胞性脉络丛脑膜炎病毒持续存在中起关键作用。
J Virol. 2001 Sep;75(18):8407-23. doi: 10.1128/jvi.75.18.8407-8423.2001.
9
Differential regulation of antiviral T-cell immunity results in stable CD8+ but declining CD4+ T-cell memory.抗病毒T细胞免疫的差异调节导致CD8+ T细胞记忆稳定,但CD4+ T细胞记忆下降。
Nat Med. 2001 Aug;7(8):913-9. doi: 10.1038/90950.
10
Control of viremia and prevention of clinical AIDS in rhesus monkeys by cytokine-augmented DNA vaccination.通过细胞因子增强的DNA疫苗接种控制恒河猴的病毒血症并预防临床艾滋病
Science. 2000 Oct 20;290(5491):486-92. doi: 10.1126/science.290.5491.486.

两种细胞毒性淋巴细胞调节方式解释了对人类免疫缺陷病毒免疫反应的动力学。

Two types of cytotoxic lymphocyte regulation explain kinetics of immune response to human immunodeficiency virus.

作者信息

Rouzine I M, Sergeev R A, Glushtsov A I

机构信息

Department of Molecular Biology and Microbiology, Tufts University, 136 Harrison Avenue, Boston, MA 02111, USA.

出版信息

Proc Natl Acad Sci U S A. 2006 Jan 17;103(3):666-71. doi: 10.1073/pnas.0510016103. Epub 2006 Jan 5.

DOI:10.1073/pnas.0510016103
PMID:16407101
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1334670/
Abstract

The organization of the cytotoxic T lymphocyte (CTL) response at organismal level is poorly understood. We propose a mathematical model describing the interaction between HIV and its host that explains 20 quantitative observations made in HIV-infected individuals and simian immunodeficiency virus-infected monkeys, including acute infection and response to various antiretroviral therapy regimens. The model is built on two modes of CTL activation: direct activation by infected cells and indirect activation by CD4 helper cells activated by small amounts of virus. Effective infection of helper cells by virus leads to a stable chronic infection at high virus load. We assume that CTLs control virus by killing infected cells. We explain the lack of correlation between the CTL number and the virus decay rate in therapy and predict that individuals with a high virus load can be switched to a low-viremia state that will maintain stability after therapy, but the switch requires fine adjustment of therapy regimen based on the model and individual parameters.

摘要

细胞毒性T淋巴细胞(CTL)反应在机体水平上的组织情况目前还知之甚少。我们提出了一个描述HIV与其宿主之间相互作用的数学模型,该模型解释了在HIV感染个体和猿猴免疫缺陷病毒感染猴子中所做的20项定量观察结果,包括急性感染以及对各种抗逆转录病毒治疗方案的反应。该模型基于CTL激活的两种模式构建:被感染细胞的直接激活和被少量病毒激活的CD4辅助细胞的间接激活。病毒对辅助细胞的有效感染会导致在高病毒载量下出现稳定的慢性感染。我们假设CTL通过杀死被感染细胞来控制病毒。我们解释了治疗中CTL数量与病毒衰减率之间缺乏相关性的原因,并预测高病毒载量的个体可以转换到低病毒血症状态,且该状态在治疗后将保持稳定,但这种转换需要根据模型和个体参数对治疗方案进行精细调整。